Repair information providing apparatus through ODS data monitoring based on deep learning and method thterefor

摘要

The present invention uses ODS data measured through an acceleration sensor to monitor the displacement or frequency change of parts constituting the equipment, and based on deep learning that can provide the user by specifying the repair time of each part through the monitoring result. This is a method of providing repair information through monitoring of ODS data. By specifying the repair time of each part and providing it to the user, it predicts the repair time of each part in advance, and accordingly, the maintenance schedule and the supply and demand of necessary parts. By predicting in advance, the cost or time required for repair can be minimized, and since the time when maintenance is needed can be known in advance, there is an effect of preventing a major accident that may occur due to an accidental failure.